higher ed

The R&D performed at colleges and universities is an important driver for the innovation economy — generating new knowledge, spurring invention, training STEM talent, and supporting economic development. This edition of SSTI’s Useful Stats analyzes metropolitan-level data for 2019 from the National Science Foundation on higher education R&D (HERD) expenditures and personnel. Nearly 981,000 individuals in higher education across the U.S. were classified as R&D personnel in 2019. As shown by the green shading in the interactive map below, the metropolitan areas with the greatest total number of HERD personnel in 2019 were Baltimore, Maryland* (44,323); New York-Newark-Jersey City (43,103); Los Angeles-Long Beach-Anaheim, California (35,796); Boston-Cambridge-Newton (35,587); and Philadelphia-Camden-Wilmington (27,147).

Metropolitan areas in the U.S. with fewer than 370,000 residents are more likely to be more economically reliant on R&D performed by colleges and universities than larger metros, according to new SSTI analysis. Three data points are used to consider how R&D at institutions of higher education is impacting a region’s economy: NSF’s Higher Education R&D (HERD) data on expenditures at individual institutions; metro area Gross Domestic Product (GDP) data from the Bureau of Economic Analysis; and population estimates from the Census Bureau. The resulting analysis shows that despite larger metro areas producing a greater total amount of HERD, they are typically less reliant on these expenditures directly powering their economies.

Given higher education’s role in generating the knowledge that catalyzes innovative new technologies developed by high-growth startups, R&D conducted at institutions of higher education is one of the most important metrics for evaluating an area’s innovation economy. This edition of Useful Stats examines NSF’s recently updated Higher Education R&D (HERD) survey, finding that most states, although not all, experienced growth in HERD expenditures from 2018 to 2019. This analysis also examines 2019 state HERD expenditures by R&D field, finding that life sciences accounted for the lion’s share of HERD spending in every state except Alaska, typically followed by either engineering; the physical sciences; or the geological, atmospheric, and ocean sciences.

At a critical junction for the American workforce, the U.S. Chamber of Commerce Foundation (USCCF) has launched a new initiative to develop new models for investment in the workforce of the future. Partnering with Federal Reserve Bank of Atlanta, the Talent Finance initiative advances a new public-private approach to talent development that is intended  to address the challenges and requirements of the new economy — one that competes on talent. In the wake of the pandemic’s upheaval of the economy, workers are facing greater uncertainty and the prospect of jobs that may not return.

An important element of a region’s innovation community is its knowledge capital, and one way to try to determine a locality’s knowledge capital is to examine the number of individuals receiving research-based doctorate degrees in the science and engineering (S&E) fields. The National Science Foundation (NSF) recently updated their Survey of Earned Doctorates with data for the 2018-2019 academic year. For the period ranging from July 1, 2018 to June 30, 2019, the number of total PhDs awarded increased nationally by 1.1 percent over the previous academic year to 55,703. The update also shows that the number of degrees awarded to recipients in S&E fields was 42,980. SSTI’s analysis explores the total number of S&E PhDs awarded per state, as well as the number of S&E PhDs per 100,000 state population.

In addition to decreasing enrollment numbers at both two- and four-year institutions of higher education, detailed in an earlier SSTI Digest story, higher ed is facing other threats from looming state budget cuts. While enrollment numbers are still in flux, many universities are already making drastic budget reductions, and that pain will ultimately land on students, which could impact educational attainment and student debt for years.